🔌Distributed Cluster

The foundation of QuickAI network lies within a well known technology - the Distributed GPU (dGPU) Network.

In tandem, we employ cloud-based GPU servers, serving as load-bearers during periods of high usage or surge events. This hybrid approach ensures network robustness, guaranteeing uninterrupted services regardless of demand fluctuations. It also allows for elasticity, ensuring we perform efficiently without extraneous resource consumption during off-peak periods. To become a contributor within the QuickAI network, an interested party must fill out a form. This process enables QuickAI.network to assess resources, ensure a quality-level of services, and onboard reliable partners. In line with our commitment to transparency, efficiency, and smooth operation, QuickAI network presents the Health Monitor — a sophisticated tool that provides real-time insights into the active GPUs within our dGPU Network.

The dashboard provides insights such as GPU consumption, task allocation, total active nodes, and more, thereby offering a comprehensive overview of network status.